Oracle International Corporation (20240320124). Dynamic Cloud Based Alert and Threshold Generation simplified abstract

Dynamic Cloud Based Alert and Threshold Generation

Organization Name

Oracle International Corporation

Inventor(s)

Hari Bhaskar Sankaranarayanan of Bangalore (IN)

Dwijen Bhattacharjee of Karnataka (IN)

Dynamic Cloud Based Alert and Threshold Generation - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240320124 titled 'Dynamic Cloud Based Alert and Threshold Generation

The abstract describes a system that predicts failures in a cloud infrastructure by generating a graphical representation of various features of the network, monitoring events related to these features, classifying nodes with a trained graph neural network, and generating alerts for predicted failures.

• The system generates a graphical representation of features in a cloud-based network.
• It monitors events for these features and populates a graph database with the monitored events.
• Nodes in the graph are classified using a trained graph neural network, predicting failures of at least one node.
• Alerts are generated for predicted failures, allowing for proactive maintenance and troubleshooting.

Potential Applications: - Proactive maintenance in cloud infrastructure. - Predictive analytics for network reliability. - Automated alert generation for potential failures.

Problems Solved: - Identifying potential failures in a cloud infrastructure before they occur. - Streamlining maintenance processes in a network environment.

Benefits: - Improved network reliability and uptime. - Cost savings through proactive maintenance. - Enhanced performance through early issue detection.

Commercial Applications: Predictive maintenance software for cloud service providers, network monitoring companies, and large enterprises.

Questions about the technology: 1. How does the system differentiate between regular events and potential failures? 2. What kind of data is used to train the graph neural network for node classification?

Frequently Updated Research: Stay updated on advancements in graph neural networks for predictive maintenance in cloud infrastructures.

Original Abstract Submitted

embodiments predict failures in a cloud infrastructure. embodiments generate a graphical representation of a plurality of features of the cloud based network, the graphical representation including a plurality of nodes and corresponding relationships between the nodes, each node corresponding to one of the plurality of features. embodiments monitor for events for the plurality of features, the events corresponding to one or more of the nodes, to generate monitored events, and populate a graph database with the monitored events. embodiments classify each of the nodes with a trained graph neural network (“gnn”), the classification including a prediction of a failure of at least one node. based on the classifying, for a first failure node corresponding to the prediction, embodiments generate a new alert corresponding to the first failure node.